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Adjustment on separate-Bias Kalman filter during initial alignment of SINS

  • Feng Sun*
  • , Yueyang Ben
  • , Wei Gao
  • , Qi Nie
  • *Corresponding author for this work
  • Harbin Engineering University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of adjusting parameters with a separatebias Kalman filter is addressed for improving the alignment performance of strapdown inertial navigation system (SINS). To reduce the load of navigation computer, the technique of separate bias is implemented. The influence of initial condition and noise covariance on separate-bias Kalman filter is analyzed. The adjustment method using which the estimates have rapid convergence, small time lag and smooth behavior is developed. Both simulations and experiments are carried out to support the analytic results. The testing results agree well with the analyses. The conclusion that the method superior over typical parameter-selection ones is derived.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Control and Automation, ICCA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2311-2316
Number of pages6
ISBN (Print)1424408180, 9781424408184
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Control and Automation, ICCA - Guangzhou, China
Duration: 30 May 20071 Jun 2007

Publication series

Name2007 IEEE International Conference on Control and Automation, ICCA

Conference

Conference2007 IEEE International Conference on Control and Automation, ICCA
Country/TerritoryChina
CityGuangzhou
Period30/05/071/06/07

Keywords

  • Alignment
  • Kalman
  • SINS
  • Separate-bias

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